Research Article
A Multilevel Temporal Context Network for Sleep Stage Classification
Table 4
The confusion matrix and per-class result from the cross dataset.
| | MLTCN output | Per-class result (%) | Wake | N 1 | N 2 | N 3 | REM | Pre | Rec | F1 |
| Wake | 7119 | 498 | 179 | 17 | 472 | 95.8 | 85.9 | 90.6 | N 1 | 216 | 618 | 755 | 13 | 1202 | 42.6 | 22.0 | 29.0 | N 2 | 39 | 235 | 15613 | 999 | 913 | 86.8 | 87.7 | 87.3 | N 3 | 21 | 2 | 490 | 5173 | 17 | 83.4 | 90.7 | 86.9 | REM | 36 | 98 | 953 | 3 | 6627 | 71.8 | 85.9 | 78.2 | ACC = 83.1%; MF1 = 74.4%; kappa = 0.77 |
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